Results

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metrics

recommend length:15
  • accuracy: 0.8630
  • precision:0.8661
  • recall:0.8630
  • f1: 0.8619
  • roc_area:0.8564

  • confusion matrix:
  • Predicted   0   1
    Actual
    0          37   3
    1           7  26

1. Forward feature search (RandomForest cv=5)
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2. Comparison dimensionality reduction(left:raw dataset ,right:use MRMD3.0)
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3. top 15 features distribution
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4. top 15 features Pearson correlation coefficient
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5. top 15 feature score PageRank
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feature ranking
NO. features name score
1 Y 0.05879620905677517
2 K 0.05597976215208717
3 E 0.05425100824116193
4 N 0.05421276482680626
5 V 0.0537541248793991
6 S 0.05333776398924654
7 I 0.05317466321392428
8 P 0.05263539302067472
9 Q 0.05152564063831892
10 G 0.0505196168186521
11 D 0.049194750159629284
12 R 0.0487031018830841
13 C 0.04854651300809624
14 F 0.047853961195145574
15 A 0.047722207896049404
16 H 0.047373544807334585
17 M 0.04705103848134251
18 W 0.04437020012917783
19 L 0.04377576122280248
20 T 0.03722197438029176